Staque IO Documentation
Welcome to the Staque IO technical documentation. This comprehensive guide covers everything you need to know about deploying, managing, and scaling AI models on AWS infrastructure.
Getting Started
Quick start guide to set up your first AI model deployment
API Reference
Complete API documentation for all endpoints
Deployment Guide
Deploy models to AWS Bedrock, SageMaker, and NVIDIA NIM
Authentication
Secure authentication using JWT tokens
What is Staque IO?
Staque IO is a comprehensive AI infrastructure platform that simplifies the deployment and management of AI models across multiple cloud platforms. Built with a compliance-first approach, it enables organizations to leverage cutting-edge AI capabilities while maintaining strict security and regulatory standards.
Key Features
- Multi-Cloud Support: Deploy models to AWS Bedrock, SageMaker, and NVIDIA NIM
- AI-Powered Recommendations: Get intelligent infrastructure recommendations using OpenAI
- Real-time Monitoring: Track model performance, costs, and usage metrics
- Compliance Ready: HIPAA, SOC2, and GDPR compliant infrastructure
- Conversation Management: Built-in chat interface for model interaction
- Cost Optimization: Real-time pricing data and cost predictions
- Role-Based Access: Secure authentication with user roles
Supported Platforms
AWS Bedrock
Managed foundation models including Claude, Nova, and Titan
AWS SageMaker
Custom model deployments with full infrastructure control
NVIDIA NIM
Hosted NVIDIA models via API integration
Architecture Overview
Staque IO is built on a modern, scalable architecture using:
- Frontend: Next.js 14 (App Router) with React and TypeScript
- Backend: Next.js API Routes with serverless functions
- Database: PostgreSQL for persistent data storage
- Authentication: JWT-based authentication with bcrypt password hashing
- Cloud Services: AWS SDK for Bedrock, SageMaker, and Pricing APIs
- AI Integration: OpenAI API for intelligent recommendations
- Styling: Tailwind CSS with custom dark mode support
Ready to get started?
Follow our getting started guide to deploy your first AI model in minutes.
Get Started